Go
Browse and strategize across all 17 official problem statements requiring Go. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.
Problem Statements List (17)
Match My TeamDesign and Development of Innovative Hand-Spinning Equipment for Enhancing Khadi Artisan Productivity and Income
Traditional manually operated New Model Charkhas used by rural women Khadi artisans suffer from heavy ergonomic strain, high yarn breakage, and low daily productivity, limiting artisan earnings. Build an ergonomic, low-friction hand-spinning system and smart artisan companion platform with planetary gear ratio optimization, lightweight composite spindles, and an IoT yarn quality & count counter.
AR-Based Vocational Training Simulator for Industrial Safety in Jharkhand's Mining & Manufacturing Sector
Vocational students and industrial apprentices in Jharkhand face severe injury risks when training on high-voltage equipment, heavy blast furnaces, and underground mine machinery without hands-on practice. Build an Augmented Reality (AR) and mobile 3D vocational safety simulator (WebXR / Unity) that gamifies hazardous SOP drills (lockout-tagout, fire suppression, gas leak response) with real-time gesture assessment and skill competency scoring.
Blockchain-Based Secure Platform for Identity,Access Control, and Digital Asset Management
Defense establishments and critical public sector enterprises under Bharat Electronics Limited (BEL) face severe insider threats, credential theft, and unauthorized facility access due to fragmented identity silos and centralized database vulnerabilities. Build a Blockchain-Based Self-Sovereign Identity (SSI), Zero-Trust Access Control, and Digital Credential Platform for BEL that uses Decentralized Identifiers (DIDs), Verifiable Credentials (W3C standard), and post-quantum cryptographic signatures to secure multi-facility biometric access.
Startup friendly public procurement mechanism that enables government departments to identify,pilot, procure,and scale innovative solutions from eligible startups
Innovative tech startups in Maharashtra struggle to win government procurement contracts and municipal tenders because traditional public procurement rules mandate restrictive criteria (3-year minimum prior turnover, prior government experience, high earnest money deposits - EMD) that favor legacy vendors. Build a Startup-Friendly Public Procurement and Innovation Challenge Platform for the Government of Maharashtra that provides dedicated regulatory exemptions for DPIIT-recognized startups, sandbox challenge bidding, and automated prompt payment tracking.
Quantum-Inspired Cyber Threat Detection for Digital Signature Security
The impending advent of fault-tolerant quantum computers running Shor's algorithm threatens to shatter classical asymmetric public-key digital signatures (RSA, ECDSA) used across national banking, PKI certificates, and blockchain networks. Build a Quantum-Inspired Cyber Threat Detection and Post-Quantum Cryptographic (PQC) Migration Platform for Egreen Quanta that analyzes digital signature entropy anomalies, identifies quantum vulnerability risks across enterprise PKI infrastructure, and implements NIST-standardized Post-Quantum algorithms (CRYSTALS-Dilithium, Falcon, SPHINCS+).
AI-Based Detection of Cyber Threats in Unidirectional IP Traffic
Critical national infrastructure networks (nuclear plants, defense command networks, intelligence intranets) use hardware unidirectional data diodes (transmitting data over single optical fibers with physical return lines cut) to prevent cyber intrusion, but security operations centers struggle to detect command-and-control (C2) beaconing, covert data exfiltration channels, and protocol abuse when analyzing one-way, non-acknowledged IP traffic. Build an AI-Based Threat Detection System for Unidirectional Data Diode IP Traffic for NTRO that uses flow statistics, inter-arrival entropy, and packet payload forensics to detect malicious traffic without two-way handshake inspection.
Creation of scripts/functions with new programming language to commence Computer & Network forensic analysis without triggering security solutions
Security researchers and vulnerability analysts at NTRO need to test proprietary software and sandboxed targets using modern secure systems programming languages (like Rust or Zig), but traditional testing frameworks trigger aggressive antivirus/EDR heuristic alerts due to runtime signatures. Build a Clean-Room Language Transpiler, Execution Harness, and Static AST Analysis Framework for NTRO that parses custom domain-specific testing scripts, generates clean native binaries with benign metadata and memory safety, and automates penetration testing workflows.
Design and Development of an Integrated Secure Data Erasure and Advanced File Recovery Tool for Digital Forensics and Data Sanitization
Decommissioned government storage media (NVMe SSDs, SATA HDDs, USB flash, eMMC chips) handled by NTRO contain classified national security data where standard OS formatting leaves recoverable forensic fragments in hidden sectors (HPA/DCO, flash bad-block reserves, wear-leveling spare area). Build an Integrated Secure Data Erasure and Advanced Sanitization Platform for NTRO compliant with NIST SP 800-88 Rev. 1 (Purge/Clear) and DoD 5220.22-M standards that executes hardware ATA Secure Erase, NVMe Sanitize Crypto Scramble, and multi-pass cryptographic overwriting with tamper-evident digital certificates.
Development of a Multi-Vendor DVR/NVR Forensic Analysis Tool for Standardized Acquisition, Recovery, and Analysis of Surveillance Evidence.
Digital video evidence recovered from crime scenes and national security incidents by NTRO is locked inside standalone Digital Video Recorders (DVRs/NVRs) running hundreds of proprietary, closed-source file systems (DHFS, HIKVISION, WFS, ZH_FS, Mirage) where hard drives are unreadable on standard Windows/Linux operating systems. Build a Multi-Vendor DVR/NVR Forensic Analysis and Video Stream Recovery Tool for NTRO that performs raw binary carving of proprietary DVR file systems, reconstructs fragmented H.264/H.265 video streams, and recovers deleted surveillance footage.
Universal Log Pre-processing Framework
Security Operations Centers (SOCs) at NTRO ingest petabytes of heterogeneous, unstructured logs (Syslog, Windows Event Logs, firewall text, JSON, CEF, XML) from hundreds of proprietary vendor devices, where manual regex writing fails to parse dynamic formats in real time. Build a Universal Log Pre-processing, Parsing, and Semantic Normalization Framework for NTRO that uses zero-shot grammar inference and drain-tree parsing to automatically structure raw logs into Open Cybersecurity Schema Framework (OCSF) events at 100,000+ logs/sec.
SecureMailScope: AI-Assisted Cryptographic Security Posture Assessment for Secure Email Communications
Enterprise mail servers across government ministries and defense agencies frequently misconfigure TLS encryption, use weak cipher suites (RC4, 3DES), and fail to enforce MTA-STS (Mail Transfer Agent Strict Transport Security) and DANE, leaving diplomatic communications vulnerable to passive wiretapping and Man-in-the-Middle (MITM) downgrade attacks. Build 'SecureMailScope'—an AI-assisted cryptographic security posture assessment platform for NTRO that performs automated scanning of mail servers (SMTP, IMAP, POP3), verifies MTA-STS / DANE DNS records, and generates step-by-step remediation roadmaps.
AI-Powered IPsec VPN Protocol Analyzer and Security Assessment Framework
Enterprise IPsec Virtual Private Networks (VPNs) securing strategic government communication tunnels suffer from misconfigured Phase-1 / Phase-2 parameters, weak Diffie-Hellman groups (DH Group 2/5), deprecated hash algorithms (MD5, SHA-1), and aggressive mode vulnerabilities that allow adversaries to intercept VPN traffic. Build an AI-Powered IPsec VPN Protocol Analyzer and Security Assessment Framework for NTRO that performs passive IKEv1/IKEv2 packet analysis, audits crypto proposals against NIST/BSI standards, and detects handshake downgrade attacks.
Security Assessment of the World Monitor application
Open-source intelligence (OSINT) and global situational awareness platforms (like 'World Monitor') aggregating live global news, military flight tracking, vessel AIS, and satellite conflict data are vulnerable to API tampering, data poisoning, and unauthorized reverse-engineering. Build an Automated Security Assessment and Red-Teaming Framework for Global OSINT / World Monitor Applications for NTRO that audits web client architecture, tests API endpoints against OWASP Top 10 vulnerabilities, and evaluates supply chain dependency risks.
Enterprise Cryptographic Discovery & Analysis Tool (ECDAT)
Enterprise infrastructure across national security agencies (NTRO, defense networks) contains legacy software repositories, microservices, databases, and network appliances using undocumented, deprecated cryptographic algorithms (MD5, DES, RSA-1024, hardcoded AES keys) that violate modern cryptographic standards. Build an Enterprise Cryptographic Discovery and Analysis Tool (ECDAT) for NTRO that performs static source code analysis, dynamic binary inspection, and network certificate scanning to build an automated Cryptographic Bill of Materials (CBOM) and guide Post-Quantum migration.
Real-Time Identification of Fraud-Linked Cryptocurrency Exchanges from Victim-Reported Suspect Wallet Addresses through Automated Blockchain Analytics
Cyber fraud syndicates siphon stolen funds from Indian bank accounts through mule accounts into peer-to-peer (P2P) crypto trading desks and unregulated foreign cryptocurrency exchanges within 15-30 minutes of victim deposit. Build a Real-Time Fraud-Linked Crypto Exchange Identification and Mule Account Freezing Platform for the Ministry of Home Affairs (MHA / I4C) that ingests Indian banking transaction feeds, detects P2P merchant transaction patterns (UPI/IMPS micro-bursts, memo reference codes, sudden velocity spikes), and triggers automated bank account freeze requests.
AI-Powered Criminal Network Analysis System
Organized crime syndicates, drug trafficking cartels, and interstate extortion gangs operating in India use complex multi-tier networks (gang leaders, hawala operators, weapons suppliers, field shooters, corrupt shell companies) where police investigations remain siloed across individual state police jurisdictions. Build an AI-Powered Criminal Network Analysis and Gang Topology Intelligence Platform for the National Crime Records Bureau (NCRB / MHA) that ingests First Information Reports (FIRs), call detail records (CDRs), prison visitor logs, and bank accounts to construct dynamic criminal knowledge graphs.
Secure Digital Document Management System for Legal and Investigation Documents
Criminal investigations and trial prosecutions handled by Indian police forces and central investigative agencies (CBI, NIA, Police) rely on paper Case Diaries, physical evidence ledgers, and court summons that are vulnerable to evidence tampering, physical loss, back-dating, and procedural delays under the new Bharatiya Nagarik Suraksha Sanhita (BNSS 2023). Build a Secure, Tamper-Evident Digital Document & Evidence Management Platform for Legal and Police Case Diaries for the Ministry of Home Affairs (MHA) featuring Section 105 BNSS electronic evidence compliance, cryptographic SHA-256 chain-of-custody logging, and automated chargesheet compilation.